yoonholee / MT-netLinks
Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
☆38Updated 6 years ago
Alternatives and similar repositories for MT-net
Users that are interested in MT-net are comparing it to the libraries listed below
Sorting:
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆70Updated 4 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 4 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆48Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders…☆20Updated 6 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago